Petrochemical wastewater treatment facility operation efficiency optimization method

Abstract

The invention discloses a petrochemical wastewater treatment facility operation efficiency optimization method, which belongs to the technical field of wastewater treatment, and comprises the following steps: 1, obtaining various water quality index parameters of wastewater; step 2, acquiring operation state parameters of the wastewater treatment facility, analyzing in combination with the water quality index parameters, and judging whether the wastewater treatment facility needs to be subjected to efficiency optimization or not; 3, when it is judged that the efficiency of the wastewater treatment facility needs to be optimized, an optimal efficiency optimization strategy is made for optimization; 4, when it is judged that the efficiency optimization does not need to be carried out on the wastewater treatment facility, whether the hidden abnormal risk exists or not is judged; and step 5, carrying out graded early warning response on the wastewater treatment facilities with abnormal risks. According to the method, analysis is carried out according to the change condition of the comprehensive coefficient in the time sequence, so that the potential abnormal risk of the wastewater treatment facility is judged, early warning response is facilitated, efficiency optimization is converted into active response from passive response, and the wastewater treatment efficiency is greatly improved.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of wastewater treatment, and particularly relates to a method for optimizing operation efficiency of a petrochemical wastewater treatment facility. BACKGROUND

[0002] Petrochemical wastewater is extremely complex in composition, usually containing high concentrations of petroleum substances, phenol, cyanide, sulfide, ammonia nitrogen, organic compounds (such as polycyclic aromatic hydrocarbons and heterocyclic compounds) that are difficult to biodegrade, and heavy metals, etc. It has characteristics such as high toxicity, poor biodegradability, and severe fluctuations in water quality and quantity. Therefore, efficient and stable operation of a petrochemical wastewater treatment facility is crucial for environmental protection and sustainable development of enterprises.

[0003] When the existing wastewater treatment facility is optimized, the decision basis is generally whether the wastewater quality indicators are treated to meet the requirements, and other influencing factors such as the operating condition of the equipment itself are not analyzed, resulting in an unobvious optimization result and affecting the wastewater treatment efficiency. Moreover, when the existing wastewater treatment facility is optimized, it is generally only after the water quality appears to be abnormal that the wastewater treatment facility optimization is performed. The wastewater treatment facility optimization cannot be performed before the water quality appears to be obviously abnormal, and can only be passively optimized, lacking foresight. SUMMARY

[0004] The purpose of the present application is to provide a method for optimizing the operation efficiency of a petrochemical wastewater treatment facility to solve the problems faced in the background art.

[0005] The purpose of the present application can be achieved by the following technical solutions: A method for optimizing the operation efficiency of a petrochemical wastewater treatment facility, the optimization method comprising: Step 1: According to the wastewater treatment process, water quality monitoring equipment is arranged at key points of each treatment process to obtain various water quality indicator parameters of the wastewater; Step 2: Obtain the operating state parameters of the treatment facility at the key points, analyze the water quality parameters, and determine whether the wastewater treatment facility of each treatment process needs to be optimized in efficiency; Step 3: When it is determined that the wastewater treatment facility needs to be optimized in efficiency, an optimal efficiency optimization strategy is developed to optimize the wastewater treatment facility; Step 4: When it is determined that the wastewater treatment facility does not need to be optimized in efficiency, based on the historical parameter analysis of the treatment process in which the wastewater treatment facility is located, it is determined whether there is a hidden abnormal risk in the wastewater treatment; Step 5: The wastewater treatment facility with an abnormal risk is given a graded early warning response.

[0006] Further, the method for determining whether the wastewater treatment facility of each treatment process needs to be optimized in step two is: obtaining the water quality index parameters of the key point positions and the operation state parameters of the treatment facility, comparing each water quality index parameter and each operation state parameter with the corresponding preset parameter threshold interval; when the water quality index parameter is not within the corresponding water quality index parameter threshold interval or the operation state parameter is not within the corresponding operation state parameter threshold interval, it is determined that the wastewater treatment facility needs to be optimized.

[0007] Further, the method for determining whether the wastewater treatment facility of each treatment process needs to be optimized in step two further comprises: when each water quality index parameter and each operation state parameter is within the corresponding parameter threshold interval, the comprehensive coefficient is obtained by the formula ; comparing the comprehensive coefficient with the set comprehensive threshold coefficient , when , it is determined that the wastewater treatment facility needs to be optimized; wherein, is the jth water quality index parameter, is the standard parameter corresponding to the jth water quality index, is the weight coefficient of the jth water quality index, is the total number of water quality indexes obtained, is the comparison value of the jth water quality index, is the ith operation state parameter, is the standard parameter corresponding to the ith operation state, is the weight coefficient of the ith operation state, is the total number of operation states obtained, is the comparison value of the ith operation state.

[0008] Further, the method for formulating the optimal performance optimization strategy for optimizing the wastewater treatment facility in step three is: when it is determined that the wastewater treatment facility needs to be optimized, obtaining each water quality index parameter and each operation state parameter, performing feature extraction to obtain the feature values of each water quality index and operation state, and taking each feature value as an element to form the actual feature vector of the treatment facility; according to the treatment scene, constructing a set of performance optimization strategies under the corresponding scene, the set of performance optimization strategies containing multiple performance optimization strategies, each performance optimization strategy containing corresponding standard feature values; taking each standard feature value as an element to form the standard feature vector of each performance optimization strategy;​ The cosine similarity between the actual feature vector of the treatment facility and each standard feature vector is calculated. The efficiency optimization strategy with the largest cosine similarity is selected as the optimal efficiency optimization strategy for optimizing the wastewater treatment facility.

[0009] Furthermore, the method for determining whether there are hidden abnormal risks in the wastewater treatment facility in step four is as follows: Based on the number of wastewater treatments at the treatment facility, the comprehensive coefficient for each wastewater treatment in the time series is obtained, a comprehensive coefficient change function for each wastewater treatment is constructed, the integral value of the comprehensive coefficient change function over each treatment time is calculated, and the integral value is recorded as the change value for each wastewater treatment. Calculate the standard deviation of the changes based on the changes in wastewater treated Y times. Simultaneously, based on the change values ​​obtained over time, the average change value of the change value under Y wastewater treatment cycles is calculated. ; Through formula derive the risk coefficient ,when If this is the case, then it is determined that the wastewater treatment facility has hidden abnormal risks, among which, This is a preset risk threshold coefficient.

[0010] Furthermore, the method for implementing graded early warning response for wastewater treatment facilities with abnormal risks in step five is as follows: Early warning response includes Level I early warning response and Level II early warning response. When, a Level 1 early warning response is generated; when At that time, a Level II early warning response is generated, in which This is a preset risk threshold coefficient.

[0011] The beneficial effects of this invention are: This invention can comprehensively analyze the changes in water quality parameters of wastewater under the wastewater treatment process and the changes in the operating status parameters of the corresponding wastewater treatment facilities, thereby accurately judging the water treatment status of the wastewater treatment facilities, and further determining whether it is necessary to optimize the efficiency of the wastewater treatment facilities to ensure wastewater treatment efficiency.

[0012] This invention can analyze the changes in comprehensive coefficients over a time period when the wastewater treatment facility is operating normally, thereby judging potential abnormal risks of the wastewater treatment facility, so as to provide early warning and response, transforming the efficiency optimization from a passive response to an active response, and greatly improving the efficiency and quality of wastewater treatment.

[0013] Of course, any product implementing this invention does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required to be used in the description of the embodiments will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0015] Figure 1 The method flowchart of the present application. DETAILED DESCRIPTION

[0016] The technical solutions in the embodiments of the present application will be described clearly and completely in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0017] In one embodiment, a method for optimizing the operation efficiency of a petrochemical wastewater treatment facility is disclosed, as shown in the following figure. Figure 1 As shown in the figure, the optimization method mainly includes: Step 1: According to the wastewater treatment process, water quality monitoring equipment is set at the key points of each treatment process to obtain various water quality index parameters of the wastewater; Step 2: Obtain the operation state parameters of the treatment facility at the key points, analyze the water quality parameters, and determine whether the wastewater treatment facility of each treatment process needs to be optimized in efficiency; Step 3: When it is determined that the wastewater treatment facility needs to be optimized in efficiency, an optimal efficiency optimization strategy is developed to optimize the wastewater treatment facility; Step 4: When it is determined that the wastewater treatment facility does not need to be optimized in efficiency, based on the historical parameter analysis of the treatment process in which the wastewater treatment facility is located, it is determined whether there is a hidden abnormal risk in the wastewater treatment; Step 5: The wastewater treatment facility with abnormal risk is graded and early warning response is performed.

[0018] Through the above technical solution, this application first installs water quality monitoring equipment at key points in each treatment process according to the wastewater treatment flow to obtain various water quality parameters of the wastewater. Then, it acquires the operational status parameters of the treatment facilities at these key points. Combined with the water quality parameters, a comprehensive analysis is conducted to determine whether the wastewater treatment facilities in each process require efficiency optimization. This approach combines the operational status parameters of the wastewater treatment facilities with the corresponding wastewater quality parameters, taking multiple factors into account to more accurately assess the energy consumption of the wastewater treatment facilities, thereby enabling timely optimization and ensuring wastewater treatment efficiency. Simultaneously, it determines whether the wastewater treatment facilities require efficiency optimization. When optimizing performance, appropriate optimization strategies are selected based on the wastewater treatment scenario to optimize the wastewater treatment facilities. When it is determined that the wastewater treatment facilities do not require performance optimization, historical parameters of the treatment process can be analyzed to determine whether there are any hidden anomalies. This allows for early detection of potential hidden anomalies even when no obvious anomalies are observed, enabling timely intervention and transforming passive response into proactive response to ensure wastewater treatment quality. When hidden anomalies are present, tiered early warning responses can be implemented based on the risk level, facilitating managers' understanding of the wastewater treatment facilities' status and subsequent maintenance.

[0019] The method for determining whether the wastewater treatment facilities of each treatment process need to be optimized in step two is as follows: obtain the water quality index parameters of key locations and the operating status parameters of the treatment facilities, and compare each water quality index parameter and each operating status parameter with their respective preset parameter threshold ranges. When the water quality index parameter is not within the corresponding water quality index parameter threshold range or the operating status parameter is not within the corresponding operating status parameter threshold range, it is determined that the wastewater treatment facility needs to be optimized. When all water quality parameters and operational status parameters are within their corresponding threshold ranges, the formula is used. derive the comprehensive coefficient ; Comprehensive coefficient With the set comprehensive threshold coefficient When a comparison is performed, If so, it is determined that the wastewater treatment facility needs to be optimized for performance; in, Let j be the water quality parameter. Let j be the standard parameter corresponding to the j-th water quality indicator. Let be the weighting coefficient of the j-th water quality indicator. The total number of water quality indicators obtained. For the i-th running status parameter, These are the standard parameters corresponding to the i-th running state. Let be the weight coefficient of the i-th running state. The total number of items in the obtained running status.

[0020] The above scheme provides a specific method for determining whether wastewater treatment facilities in each treatment process need performance optimization. First, it obtains various water quality parameters and operational status parameters of the treatment facilities at key locations. Water quality parameters include COD, ammonia nitrogen, and suspended solids content; operational status parameters include equipment temperature, power consumption, and membrane pressure. Each water quality parameter and operational status parameter is compared with its respective preset threshold range. These threshold ranges can be pre-determined based on historical parameter data of the corresponding treatment facility and the professional knowledge of those in the field. When a water quality parameter is outside its corresponding threshold range, or an operational status parameter is outside its corresponding threshold range, it indicates an abnormality in the wastewater treatment facility's operational efficiency, thus requiring performance optimization. To reduce the impact of random errors, the parameters obtained here are averages over a short period. This method allows for the assessment of the wastewater treatment facility's performance based on significant anomalies in a particular parameter, enabling the implementation of corresponding optimizations. When all water quality parameters and operational status parameters are within their corresponding threshold ranges, the formula is used. derive the comprehensive coefficient ; the comprehensive coefficient With the set comprehensive threshold coefficient When a comparison is performed, If so, it is determined that the wastewater treatment facility needs performance optimization; among which, Let j be the water quality parameter. Let j be the standard parameter corresponding to the j-th water quality indicator. Let be the weighting coefficient of the j-th water quality indicator. The total number of water quality indicators obtained. Let j be the comparison value of the j-th water quality indicator. For the i-th running status parameter, These are the standard parameters corresponding to the i-th running state. Let be the weight coefficient of the i-th running state. To obtain the total number of items in the running status, The comparison value for the i-th operating state; the standard parameters corresponding to each water quality indicator, the standard parameters corresponding to each operating state, and the comprehensive threshold coefficient. The weighting coefficients can be determined independently based on the professional knowledge of personnel in this field and relevant historical data. The weighting coefficients are determined according to the degree of impact on wastewater treatment energy efficiency under each treatment process. and Can be artificially determined for de-dimensioning; Indicates the deviation of each water quality index parameter from the standard water quality index parameter, and Indicates the deviation of each operating state parameter from the standard operating state parameter, and the comprehensive coefficient is obtained by comprehensive analysis of the two , it can be known that when the comprehensive coefficient is smaller, the deviation of the obtained parameter from the standard parameter is smaller, and the water treatment effect of the wastewater treatment facility is better, and vice versa. The wastewater treatment facility needs to be optimized in performance, so a comprehensive threshold coefficient is set according to the professional knowledge of the person skilled in the art combined with the corresponding historical data When , it is judged that the wastewater treatment facility needs to be optimized in performance; by this way, the water quality index parameter change of the wastewater under the wastewater treatment process and the operating state parameter change of the corresponding wastewater treatment facility are comprehensively analyzed, so that the water treatment of the wastewater treatment facility is more accurately judged, and it is judged whether the wastewater treatment facility needs to be optimized in performance, so as to ensure the wastewater treatment efficiency.

[0021] The method for formulating the optimal performance optimization strategy for optimizing the wastewater treatment facility in step three is: when it is judged that the wastewater treatment facility needs to be optimized in performance, the water quality index parameters and the operating state parameters are obtained, feature extraction is performed, the characteristic values of the water quality index and the operating state are obtained, and the actual feature vector of the treatment facility is established with the characteristic values as elements; According to the treatment scene, the performance optimization strategy set under the corresponding scene is constructed, the performance optimization strategy set contains multiple performance optimization strategies, and each performance optimization strategy contains corresponding standard characteristic values; the standard characteristic vectors of various performance optimization strategies are established with the standard characteristic values as elements; Calculate the cosine similarity between the actual feature vector of the treatment facility and each standard feature vector, select the performance optimization strategy with the largest cosine similarity as the optimal performance optimization strategy, and optimize the wastewater treatment facility.

[0022] The technical solution provides a specific method for determining an optimal performance optimization strategy to optimize a wastewater treatment facility. First, when it is determined that the wastewater treatment facility needs to be optimized in performance, the water quality index parameters and the operation state parameters are obtained, feature extraction is performed, the characteristic values of the water quality indexes and the operation states are obtained, the actual feature vectors of the treatment facilities are established with the characteristic values as elements; then, according to different wastewater treatment scenarios, a large number of historical performance optimization strategies under the corresponding wastewater treatment scenarios are collected, a performance optimization strategy set under the corresponding scenario is constructed, the wastewater treatment scenarios can be divided in advance according to the wastewater treatment type, the wastewater concentration, the wastewater treatment capacity and the like, the standard quality index parameters and the operation state parameters under each performance optimization strategy are obtained, feature extraction is performed on the standard quality index parameters and the operation state parameters, the standard characteristic values are obtained, the standard characteristic vectors of various performance optimization strategies are established with the characteristic values as elements; the cosine similarity between the actual feature vectors of the treatment facilities and the standard characteristic vectors is calculated, the greater the cosine similarity, the higher the similarity between the standard characteristic vector and the actual feature vector of the treatment facility, and the more the performance optimization strategy conforms to the current scenario, and then the performance optimization strategy with the greatest cosine similarity is selected as the optimal performance optimization strategy to optimize the wastewater treatment facility. In this way, the optimal performance optimization strategy under the current load scenario can be developed for wastewater treatment facility optimization according to the analysis of the water quality index parameters and the operation state parameters under the wastewater treatment process, and the wastewater treatment quality can be maximized.

[0023] The method for determining whether the wastewater treatment has hidden abnormal risks in step four is as follows: according to the wastewater treatment times of the treatment facility, the comprehensive coefficients at each wastewater treatment time in the time sequence are obtained, a comprehensive coefficient change function at each wastewater treatment time is constructed, the integral value of the comprehensive coefficient change function in each treatment time is calculated, and the integral value is recorded as the change value of each wastewater treatment. According to the change value under Y wastewater treatments, the standard deviation of the change value is calculated Meanwhile, based on the change value obtained in the time sequence, the average change value of the change value under Y wastewater treatments is calculated ; The risk coefficient is obtained through the formula When , it is determined that the wastewater treatment has hidden abnormal risks, wherein is a preset risk threshold coefficient; The method for grading and early warning response of the wastewater treatment facility with abnormal risks in step five is as follows: The early warning response includes a first early warning response and a second early warning response, when , the first early warning response is generated; and when , the second early warning response is generated, wherein​ This is a preset risk threshold coefficient.

[0024] The above technical solution provides a specific method for determining whether there are hidden anomaly risks in wastewater treatment. First, based on the number of wastewater treatment cycles at the treatment facility, a comprehensive coefficient is obtained for each wastewater treatment cycle. A function representing the change in the comprehensive coefficient for each wastewater treatment cycle is constructed. The integral value of this function over each treatment cycle is calculated, and this integral value is recorded as the change value for each wastewater treatment cycle. The change value reflects the change in the comprehensive coefficient for each wastewater treatment cycle. A larger change value indicates a higher risk of hidden anomalies. Based on the change values ​​over Y wastewater treatment cycles, the standard deviation of the change values ​​is calculated. Simultaneously, based on the change values ​​obtained over time, the average change value of the change value under Y wastewater treatment cycles is calculated. A larger average change indicates a higher risk of hidden anomalies, while a larger standard deviation indicates greater volatility, which also suggests a higher risk of hidden anomalies. Therefore, the formula... derive the risk coefficient Risk threshold coefficients preset based on the expertise of those in the field and historical data. ,when If a hidden anomaly risk is detected, it can be determined that the wastewater treatment facility is operating normally. This method allows for analysis of changes in comprehensive coefficients over a time period to identify potential anomalies in the wastewater treatment facility. This enables early warning and response, shifting efficiency optimization from a passive to a proactive approach, significantly improving wastewater treatment efficiency and quality. Finally, a tiered early warning response system is implemented for wastewater treatment facilities with anomalies or risks. The early warning response includes Level 1 and Level 2 responses, with Level 2 responses having a higher urgency than Level 1 responses. An additional risk threshold coefficient is preset based on the expertise of personnel in the field and historical data. ,when When a Level 1 warning response is generated, it indicates that there is a hidden abnormal risk, but the risk level is low, and only periodic monitoring of the hunger is needed; when When a Level II early warning response is generated, it indicates a high level of risk of hidden anomalies, requiring continuous monitoring. This allows management personnel to clearly understand the status of the wastewater treatment facilities for subsequent maintenance.

[0025] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in the claims, they should all fall within the protection scope of the present invention.

Claims

1. A method for optimizing the operational efficiency of a petrochemical wastewater treatment facility, characterized by, The optimization method comprises: Step one, according to the wastewater treatment process, water quality monitoring equipment is arranged at the key point position of each treatment process to obtain various water quality index parameters of wastewater; Step two, the operation state parameters of the treatment facilities at the key point position are obtained, and the water quality index parameters are analyzed to determine whether the wastewater treatment facilities of each treatment process need to be optimized in efficiency; Step three, when it is determined that the wastewater treatment facilities need to be optimized in efficiency, an optimal efficiency optimization strategy is formulated to optimize the wastewater treatment facilities; Step four, when it is determined that the wastewater treatment facilities do not need to be optimized in efficiency, whether the wastewater treatment facilities have hidden abnormal risks is determined based on historical parameter analysis of the treatment process in which the wastewater treatment facilities are located; Step five, the wastewater treatment facilities with abnormal risks are given graded early warning responses.

2. The method for optimizing the operation efficiency of a petrochemical wastewater treatment facility according to claim 1, characterized in that, The method for determining whether the wastewater treatment facilities of each treatment process need to be optimized in efficiency in step two comprises: The various water quality index parameters and the various operation state parameters of the treatment facilities at the key point position are compared with the respective preset parameter threshold intervals; When the water quality index parameters are not within the corresponding water quality index parameter threshold interval or the operation state parameters are not within the corresponding operation state parameter threshold interval, it is determined that the wastewater treatment facilities need to be optimized in efficiency.

3. The method for optimizing the operation efficiency of a petrochemical wastewater treatment facility according to claim 2, characterized in that, The method for determining whether the wastewater treatment facilities of each treatment process need to be optimized in efficiency in step two further comprises: When each water quality index parameter and each operation state parameter is located in the corresponding parameter threshold interval, a comprehensive coefficient is obtained by formula ;​ The integrated coefficient is compared with a set integrated threshold coefficient When the integrated coefficient is greater than the set integrated threshold coefficient When the integrated coefficient is greater than the set integrated threshold coefficient When the integrated coefficient is greater than the set integrated threshold coefficient, it is determined that the wastewater treatment facility needs to be optimized. wherein, is the jth water quality index parameter, is the jth water quality index corresponding to the standard parameter, is the jth water quality index weight coefficient, is the total number of water quality indexes obtained, is the jth water quality index comparison value, is the ith operation state parameter, is the ith operation state corresponding to the standard parameter, is the ith operation state weight coefficient, is the total number of operation states obtained, is the ith operation state comparison value.

4. The method for optimizing the operation efficiency of a petrochemical wastewater treatment facility according to claim 3, characterized in that, The method for optimizing the wastewater treatment facilities by formulating an optimal efficiency optimization strategy in step three comprises: When it is determined that the wastewater treatment facilities need to be optimized in efficiency, the various water quality index parameters and the various operation state parameters are obtained, feature extraction is performed, feature values of the various water quality indexes and operation states are obtained, the actual feature vectors of the treatment facilities are established by taking the various feature values as elements; According to the treatment scene, a set of efficiency optimization strategies under the corresponding scene is constructed, the set of efficiency optimization strategies contains multiple efficiency optimization strategies, and each efficiency optimization strategy contains corresponding standard feature values; the standard feature vectors of the various efficiency optimization strategies are established by taking the standard feature values as elements; The cosine similarity between the actual feature vectors of the treatment facilities and the standard feature vectors is calculated, the efficiency optimization strategy with the largest cosine similarity is selected as the optimal efficiency optimization strategy, and the wastewater treatment facilities are optimized.

5. The method for optimizing the operational efficiency of a petroleum chemical wastewater treatment facility according to claim 4, characterized in that, The method for determining whether the wastewater treatment facilities have hidden abnormal risks in step four comprises: According to the number of wastewater treatments of the treatment facilities, the comprehensive coefficients at each wastewater treatment time are obtained, a comprehensive coefficient change function at each wastewater treatment time is constructed, the integral value of the comprehensive coefficient change function within each treatment time is calculated, and the integral value is recorded as the change value of each wastewater treatment; According to the change value under Y times of wastewater treatment, the standard deviation of the change value is calculated At the same time, based on the change value obtained under the time sequence, the average change value of the change value under Y times of wastewater treatment is calculated ; The risk coefficient is obtained by formula When , it is determined that the wastewater treatment facility has hidden abnormal risks, wherein, is a preset risk threshold coefficient.​ 6. The method for optimizing the operational efficiency of a petroleum chemical wastewater treatment facility according to claim 5, characterized in that, The method for giving graded early warning responses to the wastewater treatment facilities with abnormal risks in step five comprises: The early warning response includes a first early warning response and a second early warning response, when a first early warning response is generated; when a second early warning response is generated, wherein is a preset risk threshold coefficient.

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